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Record W2086850562 · doi:10.1021/ph400165j

Integrated Microspectrometer with Elliptical Bragg Mirror Enhanced Diffraction Grating on Silicon on Insulator

2014· article· en· W2086850562 on OpenAlexaff
P. Pottier, Michael J. Strain, Muthukumaran Packirisamy

Bibliographic record

VenueACS Photonics · 2014
Typearticle
Languageen
FieldEngineering
TopicPhotonic and Optical Devices
Canadian institutionsConcordia University
Fundersnot available
KeywordsOpticsMaterials scienceDiffractionGratingDiffraction efficiencyDiffraction gratingSpectrometerFiber Bragg gratingFlatness (cosmology)SiliconWavelengthOptoelectronicsBragg's lawSilicon on insulatorPhysics

Abstract

fetched live from OpenAlex

An on-chip microspectrometer is demonstrated based on a circular diffraction grating consisting of an elliptical Bragg mirror. This structure results in a highly efficient and compact device with simplified processing requirements, useful for sensing, spectroscopy, telecom demultiplexing, and optical interconnects. The computed efficiency for a realistic geometry is −0.14 dB, which represents to the best of our knowledge the highest predicted efficiency for concave diffraction gratings (echelle/echelette gratings). The first realization of the elliptical Bragg mirror diffraction grating spectrometer is presented on silicon on insulator at a wavelength of 1.55 μm. Measurements show a full device efficiency of −3.0 dB, including all in-line losses, with a band flatness of 0.4 dB over 30 nm.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.183
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.208
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations36
Published2014
Admission routes1
Has abstractyes

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